Research on AGV rescheduling model with time and capacity constraints

Zhong-kai Li; Hong-yan Sang; Xu-jin Zhang

doi:10.1117/12.2653106

10 November 2022 Research on AGV rescheduling model with time and capacity constraints

Zhong-kai Li, Hong-yan Sang, Xu-jin Zhang

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123310W (2022) https://doi.org/10.1117/12.2653106
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

As a modern means of transportation, automated guided vehicle (AGV) has been widely used in production workshops, warehouses and logistics transportation. In the production workshop, the order change and machine failure in the actual production process have a great impact on the transportation of AGV. This paper studies an AGV rescheduling model, which can effectively improve the transportation efficiency of AGV transportation system. Based on the above model, a discrete invasive weed optimization (DIWO) algorithm is proposed. In order to verify the effectiveness of the model, this paper takes a Foxconn workshop as a comparative case.

Citation Download Citation

Zhong-kai Li, Hong-yan Sang, and Xu-jin Zhang "Research on AGV rescheduling model with time and capacity constraints", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123310W (10 November 2022); https://doi.org/10.1117/12.2653106

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